The process of using data visualization to explore hypotheses and build knowledge is common in visual analytics and data science. Bayesian methods formalise the relationship between prior and new knowledge in the light of evidence. Yet despite the apparent compatibility of the two approaches, Bayesian approaches are not well supported in most data visualization / visual analytics environments. This PhD topic would explore new visual analytic designs and approaches to support Bayesian Reasoning.